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Data Quality Analyst

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Where your expertise is needed

AUTODOC is the largest and fastest growing auto parts ecommerce platform in Europe. Present across 27 countries with around 5,000 employees, AUTODOC generated revenue of over €1.3 billion in 2023, supplying more than 7.4 million active customers with its 5.8 million vehicle parts and accessories for car, truck, and motorcycle brands. Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

What we’re looking for

Responsibilities

  • Collaborate closely with business stakeholders to identify their data needs and define clear

  • analytics objectives that support business goals.

  • Design, develop, and maintain scalable analytics frameworks, leveraging SQL, Power BI, and

  • Python to extract, transform, and analyze complex datasets.

  • Create compelling, clear, and concise reports and dashboards using Power BI, ensuring that

  • business users can easily understand and act upon the insights provided.

  • Apply advanced statistical analysis to uncover trends, correlations, and patterns in data that can

  • inform strategic business decisions.

  • Provide ongoing support to business stakeholders, enabling them to leverage BI tools and

  • insights effectively in their decision-making processes.

  • Ensure the highest standards of data integrity and accuracy in all analytics outputs, implementing

  • robust quality control and data validation processes.

  • Conduct data validation and error-checking processes to guarantee the reliability and accuracy of

  • analytics outputs, thereby upholding the trust in data-driven decision-making.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Economics,

  • Statistics, or a related field.

  • Minimum of 3 years of experience in a data analytics or business intelligence role.

  • Advanced proficiency in SQL for complex query writing and database management.

  • Expertise in Power BI for developing reports, dashboards, and data visualizations.

  • Strong programming skills in Python, especially with libraries related to data manipulation.

  • Solid understanding of statistical concepts and experience in applying statistical methods to solve

  • business problems.

  • Proficiency in English at a B2 level or above to effectively articulate data-driven insights to

  • non-technical stakeholders.

  • Detail-oriented with strong analytical and problem-solving skills.

  • Ability to work independently as well as part of a team in a fast-paced environment.

Perks at work

Competitive salaries based on your professional experience

Fast growing international company with stable employment

Annual vacation of 22 working days and 1 additional day off on your birthday

Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members 24/7 hotline and online sessions

AUTODOC Corporate Discount (1,080 Euros per annum) to order parts for their own use at special discounted rate

Retail discounts of up to 75% on travel, technology, fashion and much more

Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching

Free English and German language classes

Referral Program with attractive incentives

Flexible working hours and hybrid work

We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.

AUTODOC does not accept unsolicited CVs from recruiters or employment agencies in response to the AUTODOC Careers page or an AUTODOC social media post. Any legal offering in this regard as well as any Terms and Conditions of recruiters or employment agencies are expressly rejected by AUTODOC. AUTODOC will not consider or agree to payment of any referral compensation or recruiter fee relating to these unsolicited CVs. AUTODOC explicitly reserves the right to hire those candidate(s) without any financial obligation to the recruiter or agency.

Job Info

Location Szczecin
Contract Full time
Job category Data Management & Analytics
Experience level Individual Contributor
Department Technology